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Netacea

Cryptocurrency is a major target for account takeover

Cryptocurrency and blockchain are two of the hottest trending topics in the financial and tech worlds, with interest in Bitcoin, Ethereum, XRP and even Dogecoin exploding in recent years. This growing interest in cryptocurrencies has made them a target for fraudsters. But it’s not just the popularity of crypto trading that has criminals chomping at the bit. The nature of blockchain currencies makes them highly susceptible to fraudulent activity.

What is the real cost of carding attacks?

Since many brick-and-mortar stores closed during the Covid-19 pandemic, online shopping has grown massively through 2020 and into 2021. Fraudsters have seized this opportunity to strike, with data breaches in 2020 exposing over 155.8 million records, which could be used fraudulently, in the US alone. Carding is one of the most common and costly types of online fraud.

Are crypto miners feeding the GPU scalper bot frenzy?

Table of Contents PC gamers have long been frustrated by the rising cost of top-performing graphics cards, fueled in part by GPU-hungry cryptocurrency miners. It’s a dream scenario for scalpers, but can it be stopped? As experts in malicious bot activity, we talk a lot about scalpers at Netacea. Our Head of Threat Research Matthew Gracey-McMinn has even appeared on US news channels to talk on the subject.

How can eCommerce portals make shopping secure?

ECommerce security protects your company and customer data from cyber-attacks and malicious bots. As an eCommerce business owner, you must ensure that all data is handled securely to avoid a breach. Poor eCommerce security can have many negative impacts on a business. Customer trust relies on great customer experience, and when customers enter their personal details into your website, they expect it to be protected.

How secure is your Magento website?

There are more than 250,000 merchants using the Magento open commerce platform around the world, resulting in millions of users accessing a Magento website every day. That was before the Covid-19 pandemic hit and drove a colossal surge in online activity and, unsurprisingly, consumers significantly exceeded spending predictions. In 2019 there were two days of digital sales that reached $2 billion, and in 2020 there were more than 130.

Uncovered: Little-known scalper tactics beyond bots

Scalpers are becoming increasingly sophisticated, not just in their use of advanced bots, but also in less obvious ways to get a hold of their desired goods. Here at Netacea we are dedicated to preventing fraud by monitoring, identifying and stopping malicious bots in their tracks. We are so steadfast in this goal that we have even created a MITRE ATT&CK style framework that defines automated attack kill chains – NetBLADE (Netacea Business Logic Attack Definition).

Loyalty program abuse: How malicious bots target hotels

Hotels across the globe have been subject to massive data breaches and widespread loyalty fraud over recent years. Competitive bookings have become a prime target for cybercriminals who take advantage of look-to-book ratios and the vast amounts of data held by hotel chains to execute loyalty program abuse. But as severe travel restrictions came into play and bookings ground to a halt, hotels became almost redundant for 12 months of the pandemic.

The impact of bad bots on digital publishing platforms

Online digital publishing platforms have thrived in the new media age. The ability to publish an article detailing news from around the world, within minutes of it happening, has allowed publishers to give their customers exciting and up-to-date content 24 hours a day, 7 days a week. However, like many other online platforms, publishers are often the victim of cyber-threats. Specifically, malicious bots programmed to perform a variety of attacks such as scraping, content theft and ad fraud.

What are the top misconceptions about machine learning?

Many businesses are now talking about artificial intelligence (AI), and specifically machine learning, as a way to solve data problems more effectively. In theory, this sounds easy. What could be better than using AI to get a computer to learn how to solve a problem over time, without manual intervention? The reality is very different, however.